Nex N2.5 Max builds on DeepSeek-V4-Pro-Base, a text-only 1.6T-parameter sparse Mixture-of-Experts model with 49B active parameters, with Nex AGI's full-scale agent post-training for complex agent work, scientific modeling, engineering design, and complex frontend development.
Nex N2.5 Mini builds on Qwen3.5-35B-A3B-Base, an efficient hybrid vision-language sparse Mixture-of-Experts model, with Nex AGI's agent-focused post-training for high-speed instruction following, real-time tool execution, computer use, web browsing, and cost-effective deployment.
Nex N2.5 Pro builds on Qwen3.5-397B-A17B, a large hybrid vision-language sparse Mixture-of-Experts model, with Nex AGI's agent-focused post-training for complex reasoning, multi-agent orchestration, advanced software engineering, computer use, and web tasks.
Nex N2 Mini is an open-weight agentic multimodal model tuned for coding, tool use, and long-horizon real-world tasks in a smaller 35B-class footprint.
Nex N2 Pro is an open-weight agentic multimodal model aimed at coding, tool use, terminal execution, and long-horizon real-world tasks in a 397B-class configuration.